Title :
On the convergence speed of nonlinear least-squares IIR adaptive filter
Author :
Kim, H.J. ; Un, C.K.
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
fDate :
7/1/1988 12:00:00 AM
Abstract :
The authors investigate an infinite-impulse response (IIR) adaptive digital filter (ADF) based on the nonlinear least-squares (NLS) algorithm, and compare its convergence speed to that of a self-orthogonalizing IIR ADF which is known to have fastest convergence. By simulation, it is shown that the NLS IIR ADF converges faster than other known IIR ADFs, especially for a low-order case.<>
Keywords :
convergence; digital filters; convergence speed; digital filter; infinite-impulse response; low-order case; nonlinear least-squares IIR adaptive filter; Adaptive filters; Convergence; Digital filters; Error correction; Finite impulse response filter; IIR filters; Least squares methods; Newton method; Noise measurement; Recursive estimation;
Journal_Title :
Proceedings of the IEEE
